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Category-Agnostic Pose Estimation

Category-Agnostic Pose Estimation (CAPE) aims to create a pose estimation model capable of detecting the pose of any class of object given only a few samples with keypoint definition.

Papers

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Showing 1–10 of 15 papers

Title	Date	Tasks	Status	Hype	Score
Pose for Everything: Towards Category-Agnostic Pose Estimation	Jul 21, 2022	2D Pose EstimationCategory-Agnostic Pose Estimation	CodeCode Available	2	5
Prototypical Networks for Few-shot Learning	Mar 15, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	2	5
A Graph-Based Approach for Category-Agnostic Pose Estimation	Nov 29, 2023	2D Pose EstimationAnimal Pose Estimation	CodeCode Available	2	5
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation	Jun 1, 2024	2D Pose EstimationAnimal Pose Estimation	CodeCode Available	1	5
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation	Jan 1, 2023	2D Pose EstimationCategory-Agnostic Pose Estimation	CodeCode Available	1	5
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation	Mar 20, 2024	Category-Agnostic Pose EstimationDecoder	CodeCode Available	1	5
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	Mar 9, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	1	5
Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation	Mar 27, 2025	Category-Agnostic Pose EstimationPose Estimation	CodeCode Available	1	5
Edge Weight Prediction For Category-Agnostic Pose Estimation	Nov 25, 2024	2D Pose EstimationAnimal Pose Estimation	CodeCode Available	1	5
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator	Jul 18, 2024	Category-Agnostic Pose EstimationPose Estimation	CodeCode Available	0	5

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